Literature DB >> 11848119

The effect of dose calculation accuracy on inverse treatment planning.

Robert Jeraj1, Paul J Keall, Jeffrey V Siebers.   

Abstract

The effect of dose calculation accuracy during inverse treatment planning for intensity modulated radiotherapy (IMRT) was studied in this work. Three dose calculation methods were compared: Monte Carlo, superposition and pencil beam. These algorithms were used to calculate beamlets. which were subsequently used by a simulated annealing algorithm to determine beamlet weights which comprised the optimal solution to the objective function. Three different cases (lung, prostate and head and neck) were investigated and several different objective functions were tested for their effect on inverse treatment planning. It is shown that the use of inaccurate dose calculation introduces two errors in a treatment plan, a systematic error and a convergence error. The systematic error is present because of the inaccuracy of the dose calculation algorithm. The convergence error appears because the optimal intensity distribution for inaccurate beamlets differs from the optimal solution for the accurate beamlets. While the systematic error for superposition was found to be approximately 1% of Dmax in the tumour and slightly larger outside, the error for the pencil beam method is typically approximately 5% of Dmax and is rather insensitive to the given objectives. On the other hand, the convergence error was found to be very sensitive to the objective function, is only slightly correlated to the systematic error and should be determined for each case individually. Our results suggest that because of the large systematic and convergence errors, inverse treatment planning systems based on pencil beam algorithms alone should be upgraded either to superposition or Monte Carlo based dose calculations.

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Year:  2002        PMID: 11848119     DOI: 10.1088/0031-9155/47/3/303

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  17 in total

1.  Technical note: Heterogeneity dose calculation accuracy in IMRT: study of five commercial treatment planning systems using an anthropomorphic thorax phantom.

Authors:  Scott E Davidson; Richard A Popple; Geoffrey S Ibbott; David S Followill
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

2.  Improving target dose coverage and organ-at-risk sparing in intensity-modulated radiotherapy of advanced laryngeal cancer by a simple optimization technique.

Authors:  J-Y Lu; L-L Wu; J-Y Zhang; J Zheng; M L-M Cheung; C-C Ma; L-X Xie; B-T Huang
Journal:  Br J Radiol       Date:  2014-12-12       Impact factor: 3.039

3.  The effect of statistical noise on IMRT plan quality and convergence for MC-based and MC-correction-based optimized treatment plans.

Authors:  Jeffrey V Siebers
Journal:  J Phys Conf Ser       Date:  2008-04-04

4.  Effect of fluence smoothing on the quality of intensity-modulated radiation treatment plans.

Authors:  Puzhakkal Niyas; Kallikuzhiyil Kochunny Abdullah; Manthala Padannayil Noufal; Thekkedath Sankaran Nair
Journal:  Radiol Phys Technol       Date:  2016-03-07

5.  Comparative study of convolution, superposition, and fast superposition algorithms in conventional radiotherapy, three-dimensional conformal radiotherapy, and intensity modulated radiotherapy techniques for various sites, done on CMS XIO planning system.

Authors:  K R Muralidhar; Narayana P Murthy; Alluri Krishnam Raju; Nvnm Sresty
Journal:  J Med Phys       Date:  2009-01

6.  Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm.

Authors:  I B Mihaylov; J V Siebers
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

7.  Dosimetric impact of statistical uncertainty on Monte Carlo dose calculation algorithm in volumetric modulated arc therapy using Monaco TPS for three different clinical cases.

Authors:  Mohandass Palanisamy; Khanna David; Manigandan Durai; Narendra Bhalla; Abhishek Puri
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-18

8.  Monte Carlo dose verification of prostate patients treated with simultaneous integrated boost intensity modulated radiation therapy.

Authors:  Nesrin Dogan; Ivaylo Mihaylov; Yan Wu; Paul J Keall; Jeffrey V Siebers; Michael P Hagan
Journal:  Radiat Oncol       Date:  2009-06-15       Impact factor: 3.481

9.  Delivery parameter variations and early clinical outcomes of volumetric modulated arc therapy for 31 prostate cancer patients: an intercomparison of three treatment planning systems.

Authors:  Shinichi Tsutsumi; Masako N Hosono; Daisaku Tatsumi; Yoshitaka Miki; Yutaka Masuoka; Ryo Ogino; Kentaro Ishii; Yasuhiko Shimatani; Yukio Miki
Journal:  ScientificWorldJournal       Date:  2013-01-15

10.  Improving target coverage and organ-at-risk sparing in intensity-modulated radiotherapy for cervical oesophageal cancer using a simple optimisation method.

Authors:  Jia-Yang Lu; Michael Lok-Man Cheung; Bao-Tian Huang; Li-Li Wu; Wen-Jia Xie; Zhi-Jian Chen; De-Rui Li; Liang-Xi Xie
Journal:  PLoS One       Date:  2015-03-13       Impact factor: 3.240

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